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WHAT IS ARTIFICAL INTELLIGENCE?

Artificial intelligence refers to computer systems which are capable of performing tasks that would previously only have been possible with human intelligence. This includes speech recognition, decision-making processes, language translation and visual perception.

APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Machine learning AI can be particularly effective in organisations that want to interact with customers on a twenty-four-hour basis. Rather than having to hire additional temporary staff to cover evening and night shifts, robotics can be deployed to communicate to customers and capture their requests.

This data can then be passed to the AI machine learning, which will interpret the request and confirm the details with the customer. They can then schedule a call-back with your staff at a more suitable time to secure new business. Rather than losing business due to a lack of operational hours, your business can become truly flexible for your customers, which is essential in this digital age.

The benefits of AI 

Artificial Intelligence is capable of making decisions which robots or humans can then act upon. As a result of this:

Improved Accuracy and Speed of Decision Making

AI’s decision making process is quicker and more accurate than human decision-making (when trained correctly).

Achieve personalised, bespoke output

AI can consider thousands of parameters and variables when going through the decision-making process, ensuring the final outcome is highly personalised and specifically applicable to the situation.

Eliminate bias

AI can eliminate human involvement, which is beneficial in situations where humans may be in danger, influenced by other people or biased due to personal prejudices.

Increase Transparency

Due to all processes and decisions being recorded and mapped, AI can increase decision-making transparency and provide necessary justification required when trying to make decisions.

Integrate your human workforce

AI decisions can be utilised in tandom with human judgement. The AI can provide several possible actions and outline the key outcomes associated with each choice. Your staff or management team can then select the next best action based on these answers.

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Artificial Intelligence

Combining cutting-edge development with learning acquistion, T-Impact’s Artificial Intelligence solutions extend the capabilities of your virtual and human workforce, to capably manage both structured and un-structured tasks whilst delivering outstanding automation and digitalisation of previously complex processes.

WHAT CAN AI DO

The are almost infinite potential uses and benefits of AI within business. Many organisations believe AI is limited to just the largest, wealthiest firms in the world, but this is no longer the case.

Pre-packaged AI and subscription models have opened the market up so that any organisation can now benefit from accurate decision-making and process management for specific planned use cases.

We offer a variety of these AI packages, which unlike robotics (which delivers structured, rule-based activities), can act on on semi-structured and unstructured interactions, which may be unclear or lack detail.

T-Impact can also help you identify and implement the next step up from basic pre-packaged AI – machine learning. This process involves the virtual workforce being able to learn without explicit programming, through either direct interaction with humans or using historical data to adapt actions or activity. By evaluating and experimenting with these methods, the best practise can be adopted and applied to operational processes. Alternatively, it can be passed through independent governance panels for approval before it is put into operation.

Artificial Intelligence Vision (AIV) is a pre-packaged AI capability which can interpret handwriting images and objects into data, so your virtual or physical workforce can interpret this information.

T-Impact’s Robotics are best utilised to replicate processes on terminals and devices which would otherwise be rule-based, time-critical, data sensitive and potentially tedious to the human workforce. By successfully deploying and integrating RPA, organisations can develop a crucial link between the human and virtual workforce, helping to drive inbound processes and manage inbound or outbound communications. As a result, rather than just assisting with Back Office processes such as extracting documents, downloading and uploading files or inputting and compiling data, Robotics can also drive Front Office action too. Through this, human staff can be freed from time-consuming administrative duties, leaving them to focus on more complex, empowering and rewarding tasks.

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Dolores

Hector

Sarah

Alan

Dolores

Dolores is a quick learner and is great working with humans. All she wants to do is understand their problems and help take these challenges off their plate, so that they can focus on the work that humans do best!

She can be deployed ‘on premises’ or ‘on the Cloud’ and comes with a UiPath attended, node-locked license.

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Hector

Hector wasn’t blessed with Dolores’ social skills. While Dolores prefers to collaborate with humans, Hector just knuckles down and gets the job done. Day or night, Hector always has his mind on the job.  Not the most social of robots, but an absolute workhorse!

Hector is a medium process robot working on physical and cloud environments. He has a UiPath unattended license, self-starting capabilities, has load-balancing features and can be managed by an orchestrator robot.

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Sarah

A great organiser, Sarah coordinates the other robots to make sure they’re always working well together and delivering the results that really matter to the client. Producing the means for KPI’s, scheduling and code librarian, Sarah is an essential element to any large estate of Robots. Only available through T-Impact, Sarah operates on our Cloud Environment, and is shared between multiple customers. Thanks to this, we can offer up to 70% cost savings compared to other providers.

She has auto-queue management, monitoring and logging and auto-provision and deploy capabilities, as well as shared access to T-Impact’s UiPath Orchestrator license and UK hosting on Azure.

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Alan

Alan is a bit of a bookworm and benefits from a huge (artificial) brain. He loves a good read and can usually be found translating handwritten documents into digital text, (even when it’s taken from an image!).

Alan is only available from T-Impact, combining the power of UIPath RPA with Microsoft AI Vision handwriting analysis.

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FAQs

What is AI?

Artificial intelligence (AI) is a broad concept referring to a machine that mimics cognitive functions that humas associate with the human mind, such as learning, problem solving and reasoning.

What are the different types of AI?

AI is commonly categorised as (1) Artificial Narrow Intelligence (ANI). Sometimes referred to as Weak AI, ANI specializes in one area. (2) Artificial General Intelligence (AGI). Sometimes referred to as Strong AI, or Human-Level AI, AGI refers to a computer that is as smart as a human across the board. (3) Artificial Superintelligence (ASI), an intellect smarter than the best human brains in practically every field.

How is AI used today?

John McCarthy, coined the term “Artificial Intelligence” in 1956. He complained that “As soon as it works, no one calls it AI anymore”. Artificial Narrow Intelligence (ANI) is widely used today in both devices (calculators, mobile phones, kitchen appliances and cars) and software applications.

What are the best AI platforms?

Numerous AI platforms are available and they are constantly evolving, Some are specialised for specific industries or business functions, others are designed for general purpose use. Most of the better platforms are now available to be purchased on a usage basis, via a cloud platform. This has dramatically reduced the cost of AI projects. The best platforms include Microsoft Azure Machine Learning, IBM Watson, Google Deepmind, Google Cloud Prediction API, Rainbird and Tensorflow.

Is Robotics the same as AI? I want to work with AI, not Robotics.

The best AI platforms include machine learning, automation, natural language processing (NLP) and cloud infrastructure. Robotics, often referred to as Robotic Process Automation (RPA), are often used for the Automation capability. Leading RPA tools are pre-integrated with AI platforms, enabling AI decision making to be integrated into existing business processes & IT Systems.

How do robots enable AI?

Leading RPA tools are pre-integrated with AI platforms, enabling AI decision making to be integrated into existing business processes & IT Systems. RPA automates the work flow in an organisation, at the point where machine learning or natural language processing/understanding is required, RPA passes control to the AI Platform. When the AI Platform returns the results, RPA can assess the level of confidence and determine if the AI results should be acted upon or passed to a human for verification.

Does UiPath have AI?

UiPath’s  IPA (Intelligent Process Automation) solution combines the most cutting-edge computer vision, integration and unattended robotics with third party cognitive services from Google, IBM, Microsoft and ABBYY. With a continuous release cycle, they are committed to offering more and more services in the future.

Other suppliers offer an Orchestrator robot for much higher costs. Why is yours better value?

We’re partnered with UiPath to offer ‘Sarah’, our Orchestrator robot who is utilised by multiple T-Impact customers and consequently these companies benefit from a 70% cost reduction. We are the only firm to offer this product.

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